{"id":"https://openalex.org/W4247004236","doi":"https://doi.org/10.1002/9781119212515.ch6","title":"Correlation Analysis","display_name":"Correlation Analysis","publication_year":2017,"publication_date":"2017-02-11","ids":{"openalex":"https://openalex.org/W4247004236","doi":"https://doi.org/10.1002/9781119212515.ch6"},"language":"en","primary_location":{"id":"doi:10.1002/9781119212515.ch6","doi":"https://doi.org/10.1002/9781119212515.ch6","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781119212515.ch6","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applications of Regression Models in Epidemiology","raw_type":"other"},"volume":{"id":"https://openalex.org/W2587255012","display_name":"Applications of Regression Models in Epidemiology"},"type":"other","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053444976","display_name":"Erick L. Suarez","orcid":"https://orcid.org/0009-0007-2451-9527","observed_orcids":["https://orcid.org/0009-0007-2451-9527"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erick Su\u00e1rez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071829791","display_name":"Cynthia M. P\u00e9rez","orcid":"https://orcid.org/0000-0003-2529-7042","observed_orcids":["https://orcid.org/0000-0003-2529-7042"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cynthia M. P\u00e9rez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Roberto Rivera","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberto Rivera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048314699","display_name":"Melissa N. Mart\u00ednez","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Melissa N. Mart\u00ednez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14406","display_name":"Multidisciplinary Science and Engineering Research","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14406","display_name":"Multidisciplinary Science and Engineering Research","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.0203000009059906,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/partial-correlation","display_name":"partial correlation","score":0.8550000190734863},{"id":"https://openalex.org/keywords/multiple-linear-regression","display_name":"multiple linear regression","score":0.9380000233650208},{"id":"https://openalex.org/keywords/correlation-statistics","display_name":"correlation statistics","score":0.6890000104904175},{"id":"https://openalex.org/keywords/control-variables","display_name":"control variables","score":0.5630000233650208},{"id":"https://openalex.org/keywords/f-test","display_name":"F-test","score":0.6510000228881836},{"id":"https://openalex.org/keywords/cholesterol","display_name":"cholesterol","score":0.6679999828338623},{"id":"https://openalex.org/keywords/glucose","display_name":"glucose","score":0.9430000185966492},{"id":"https://openalex.org/keywords/triglycerides","display_name":"triglycerides","score":0.7839999794960022},{"id":"https://openalex.org/keywords/continuous-random-variables","display_name":"continuous random variables","score":0.7129999995231628}],"concepts":[{"id":"https://openalex.org/C64708745","wikidata":"https://www.wikidata.org/wiki/Q2998010","display_name":"Partial correlation","level":3,"score":0.8820136785507202},{"id":"https://openalex.org/C106366893","wikidata":"https://www.wikidata.org/wiki/Q5454862","display_name":"Fisher transformation","level":3,"score":0.7882317304611206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7684212923049927},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.7533622980117798},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.7301551103591919},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.6608160734176636},{"id":"https://openalex.org/C121694360","wikidata":"https://www.wikidata.org/wiki/Q5282862","display_name":"Distance correlation","level":3,"score":0.6277125477790833},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5881558656692505},{"id":"https://openalex.org/C179489936","wikidata":"https://www.wikidata.org/wiki/Q6934920","display_name":"Multiple correlation","level":3,"score":0.5595135688781738},{"id":"https://openalex.org/C103423394","wikidata":"https://www.wikidata.org/wiki/Q5172857","display_name":"Correlation ratio","level":3,"score":0.5531550049781799},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5088372826576233},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.48689642548561096},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.454983651638031},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.4514842629432678},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.43627631664276123},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.4172341525554657},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/9781119212515.ch6","doi":"https://doi.org/10.1002/9781119212515.ch6","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781119212515.ch6","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applications of Regression Models in Epidemiology","raw_type":"other"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1968632832","https://openalex.org/W1974350962","https://openalex.org/W4300870773"],"related_works":["https://openalex.org/W1906483060","https://openalex.org/W4231459704","https://openalex.org/W4236755852","https://openalex.org/W7097520634","https://openalex.org/W2481150236","https://openalex.org/W2496411182","https://openalex.org/W2970938177","https://openalex.org/W2491513147","https://openalex.org/W4232691659","https://openalex.org/W7037013296"],"abstract_inverted_index":{"This":[0],"chapter":[1],"summarizes":[2],"different":[3,23],"correlation":[4,26,46,72,92,122,137,141],"statistics":[5],"that":[6],"can":[7,99],"be":[8,83],"evaluated":[9],"to":[10,30,96,114,119,138],"determine":[11,89],"the":[12,22,37,52,62,71,91,101,109,115,121,128,149],"type":[13],"of":[14,25,39,51,64,103,106,131,148],"association":[15],"between":[16,27,55,123],"continuous":[17],"random":[18],"variables.":[19,69,151],"It":[20],"describes":[21],"measures":[24],"variables":[28,57,117],"related":[29],"multiple":[31],"linear":[32,53],"regression":[33],"model":[34],"(MLRM)":[35],"and":[36,41,125],"concepts":[38],"partial":[40,45,86],"semipartial":[42],"correlations.":[43],"The":[44],"coefficient":[47,73,93],"is":[48,74,94],"a":[49,78,84],"measure":[50],"relationship":[54],"two":[56],"after":[58],"simultaneously":[59],"controlling":[60,76],"for":[61,77],"effects":[63],"one":[65,98],"or":[66],"more":[67],"independent":[68],"If":[70],"calculated":[75,129],"single":[79],"variable,":[80],"it":[81],"will":[82],"first-order":[85],"correlation.":[87],"To":[88],"if":[90],"equal":[95],"zero,":[97],"use":[100],"strategy":[102],"additional":[104],"sum":[105],"squares":[107],"through":[108],"Fisher":[110],"probability":[111],"F-distribution.":[112],"According":[113],"control":[116,150],"used":[118],"assess":[120],"cholesterol":[124],"glucose":[126],"levels,":[127],"value":[130],"these":[132],"correlations":[133],"changes":[134],"from":[135],"positive":[136],"small":[139],"negative":[140],"when":[142],"fasting":[143],"triglyceride":[144],"levels":[145],"are":[146],"part":[147]},"counts_by_year":[],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2022-05-12T00:00:00"}